7 research outputs found
ๆธฏ็ฃ็็ฃๆงโค้ๅ ๅนๅค็็ฃๆงโคๆถ็ๆง ้์ ้่ฏๆง ๅฏฆ่ญ็ก็ฉถ
Abstract
An Empirical Study on the Relationship of Port Productivity and Value-added Productivity & Profitability by the Busan Port
Seung Hoon, Hyun
Department of Port Logistics
Graduate School of Marine Finance & Logistics
Korea Maritime And Ocean University
Recent global economy recession and China's moderate economy growth pose the threat of a financial crisis. However, the trading volumes are rapidly increased amid fears the economic crisis making international trade have its significance and values gradually. Against the backdrop, shipping lines make all out effort to improve trade competitiveness with ultra large container vessels and ultra speediness in response to potential demand in the future.
When it comes to vessel operation, the punctuality is a critical element of shipping lines operating liners. In order to achieve punctuality, unloading process should proceed smoothly and without interruption in container terminals. Therefore, container terminals put relentless effort to increase productivity seeking continuous improvement in punctuality.
Through a management analysis between Busan New Port and North Port, this study clarified correlation among port productivity, value-added productivity and profitability of terminal operators. It showed us the fact that port productivity is critical indicator to determine the value of a business, terminal operation. In addition, this study aimed to put forward methodologies to enhance port productivity with correlation between development indicators.
With analyzing indicators among port productivity, value-added productivity and profitability, it performed T-Test analysis and conducted a Pearson correlation coefficient in order to verify the hypothesis. In short, the result of the analysis as shown hereunder.
First, as the result of correlation analysis on port performance indicators, it proved that the indicators have closer correlations among them.
Second, by clarifying the correlation between port productivity and value- added productivity, it confirmed that there are numerous similar productivity indicators since the port productivity and value-added productivity are partially related as well.
Third, in accordance with the result of analysis on the correlation between port productivity and profitability indicators, the profitability indicator has only close correlation with NBP (Net Berth Productivity) and GBP (Gross Berth Productivity) indicators. Therefore, this analysis tells us the fact that the profitability indicator doesnโt directly affect port productivity of terminal operators.
It is significant and meaningful research to lay a foundation to find correlation with port productivity through analysis on port productivity and management indicators that have not been explicitly and theoretically studied ever before. It is a priority for terminal operator to increase port productivity in order to enhance profitability. This study showed us that traditional port productivity indicators donโt incorporate business value of terminal operators. Especially, it confirmed that it is necessary to replace or improve traditional port productivity indicator focusing on volume with suggesting new performance indicator incorporated value-added productivity for evaluating port value.
This study presented results from comparison between port productivity and value-added productivity indicators in Busan port, which the issue had never been studied before. Through comparison and analysis, it clarified that port productivity is critical to evaluate value of terminal operation in Busan port. However, limits in this study are as follows.
First, this study was performed by taking 9 container terminals only as the study object, so, therefore, the possibility cannot be excluded that selection bias of sample distribution might have influenced the research results.
Second, it also cannot be denied that business analysis used in this study is still insufficient to cover all matters. The business analysis stemmed from the financial statements based on only quantitative factors amid turmoil in the container terminal operating industry in Busan New Port and North Port. In addition the figures and ratio involved in financial statements is just a part of information on financial status.
Third, there is a limit in this study to include comprehensive results causing from the selection bias of sample distribution as major indicators such as value-added productivity and profitability indicators used for business analysis on terminal operators.
It is considered that, for the time to come, an additional or supplementary study should be carried out to supplement the limits of this study, by performing multilateral analyses on decisive factors of the finance of Korean ports including Gwang-yang and In-cheon ports, while reflecting more numerous productivity indicators and financial ratio analysis to put forward effective methodologies for increasing productivity.็ฎ ๆฌก
็ฌฌ1็ซ ๅบ ่ซ
็ฌฌ1็ฏ ็ก็ฉถ์ ่ๆฏ๊ณผ ็ฎ็
็ฌฌ2็ฏ ็ก็ฉถๅ
งๅฎน๊ณผ ็ก็ฉถๆนๆณ
็ฌฌ2็ซ ์ปจํ
์ด๋ํฐ๋ฏธ๋ ็็ฃๆง์ ๏งค่ซ็ ่ๆฏ๊ณผ ๅ
่ก็ก็ฉถ
็ฌฌ1็ฏ ์ปจํ
์ด๋ํฐ๋ฏธ๋ ๆงช่ฆ
็ฌฌ2็ฏ ์ปจํ
์ด๋ํฐ๋ฏธ๋ ็็ฃๆง ๆงชๅฟต๊ณผ ๆธฌๅฎๆๆจ
็ฌฌ3็ฏ ๆธฏ็ฃ็็ฃๆง์ ้ํ ๅ
่ก็ก็ฉถ ๆชข่จ
็ฌฌ3็ซ ๅๅ
งๅค ๆธฏ็ฃ็ฐๅข่ฎๅ์ ้ๅฑฑๆธฏ ์ปจํ
์ด๋ํฐ๋ฏธ๋ ็พๆณ
็ฌฌ1็ฏ ๅๅ
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์ด๋ ็ฉๅ้ ๆจ็งป
1. ไธ็ ์ปจํ
์ด๋ๆธฏ็ฃ ็ฉๅ้
2. ๅๅ
ง ์ปจํ
์ด๋ๆธฏ็ฃ ็ฉๅ้
็ฌฌ2็ฏ ้ๅฑฑๆธฏ ์ปจํ
์ด๋ํฐ๋ฏธ๋ ็พๆณ
1. ๏ฆๅบฆๅฅ ่็ ็ฉๅ้
2. ๆฝ่จญ ่ฃๅ ็พๆณ
3. ็็ฃๆง ็พๆณ
4. ไธ็ ไธป่ฆ ๆธฏ็ฃ ็็ฃๆง ็พๆณ ๆฏ่ผ
็ฌฌ3็ฏ ้ๅฑฑๆธฏ ์ปจํ
์ด๋ํฐ๋ฏธ๋ ็ถ็ๅฏฆๆ
ๅๆ
1. ่ฒกๅ็ๆ
ๆจ็งปๅๆ
2. ๏ฆๅบฆๅฅ ็ถ็ๅฏฆๆ
ๅๆ
็ฌฌ4็ซ ้ๅฑฑๆธฏ ์ปจํ
์ด๋ํฐ๋ฏธ๋์ ๆธฏ็ฃ็็ฃๆง โค ้ๅ ๅนๅค็็ฃๆง โค ๆถ็ๆง๊ณผ์ ้่ฏๆง์ ้ํ ๅฏฆ่ญๅๆ
็ฌฌ1็ฏ ๅๆๆจกๅ์ ่จญ่จ์ ๆนๆณ่ซ
1. ๅๆๆจกๅ๊ณผ ๅ่ชช ่จญๅฎ
2. ่ฎๆธ์ ๆไฝ็ ๅฎ็พฉ์ ๆธฌๅฎ
3. ่ณๆ่้๊ณผ ๅๆๆนๆณ
็ฌฌ2็ฏ ๅๆ็ตๆ์ ๅ่ชชๆชขๅฎ
1. ๆธฏ็ฃ็็ฃๆง ๅทฎ็ฐๆชขๅฎ
2. ้ๅ ๅนๅค็็ฃๆง ๅทฎ็ฐๆชขๅฎ
3. ่ฒกๅๆฏ๏ง ๅทฎ็ฐๆชขๅฎ
4. ๆธฏ็ฃ็็ฃๆง ๆๆจ ้์ ็ธ้้ไฟ ๅๆ ็ตๆ
5. ๆธฏ็ฃ็็ฃๆง๊ณผ ้ๅ ๅนๅค็็ฃๆง ้์ ็ธ้้ไฟ ๅๆ ็ตๆ
6. ๆธฏ็ฃ็็ฃๆง๊ณผ ๆถ็ๆง ้์ ็ธ้้ไฟ ๅๆ ็ตๆ
7. ๅ่ชชๆชขๅฎ็ตๆ
็ฌฌ5็ซ ็ต่ซ๊ณผ ็คบๅ้ป
็ฌฌ1็ฏ ๅๆ็ตๆ์ ่ฆ็ด
็ฌฌ2็ฏ ็ก็ฉถ็ตๆ์ ็คบๅ้ป
็ฌฌ3็ฏ ็ก็ฉถ์ ้็์ ๅๅพ ็ก็ฉถ่ชฒ้ก
ๅ่ๆ
The Effects of Negative Emotions on Academic Behavioral Regulation in Academic Failure Situation
ํ์๋
ผ๋ฌธ(์์ฌ)--์์ธ๋ํ๊ต ๋ํ์ :์ฌ๋ฒ๋ํ ๊ต์กํ๊ณผ,2019. 8. ์ ์ข
ํธ.In this study, negative emotions were divided into shame and anger in the failure situation, and the effect of these two emotions on academic behavioral regulation was examined, and the moderating effect of academic self-efficacy and achievement goal-orientation was checked.
All learners want to avoid failure in school. However, all learners cannot always experience success. For learners, failure is something they will have to encounter someday. This suggests that there is a need for consideration of how learners can react constructively to the failure situations they face. What is needed to overcome the failure situation is constructive self-regulation, which is a continuation of challenges and efforts.
In general, failure causes negative emotion and negatively affects learners' motivation and performance. Emotions play a important role in academic situations, and many prior studies report the negative effects of negative emotions. However, not all individuals, and not all negative emotions, have always had negative effects. First, the effects of negative emotions can vary depending on individual characteristics. Second, even if it contains negative sentimentality, the effect of it on learning can vary depending on which discrete emotion is triggered.
However, many prior studies have shown the following limitations. First, many emotion studies did not pay attention to academic failures and often did not use emotion measurement tools to suit academic situations. Second, there was a lack of consideration about what personal characteristics affected the effect of emotions. Third, in many prior studies, emotions were divided into positive and negative emotions, but discrete emotions were not considered sufficient.
Therefore, in this study, I investigated the effect of two emotions on academic behavioral regulation after classifying negative emotion into shame and anger based on academic failure situation. The other purpose of this study was to examine the effect of self-efficacy and achievement goal orientation in the process.
This study involved 320 sixth graders from two elementary schools. The whole process was done with a paper questionnaire, and the failure situation was manipulated through a scenario. Participants first measured self-efficacy and achievement goal orientation, and then provided two test failure scenarios to induce immersion. Finally, participants answered the question of academic emotions and academic behavioral regulation in that scenario. The two scenarios used in this study were identified as inducing shame and anger, each consisting of three preliminary experiments. Shame is caused by the recognition that the cause of failure lies with him, so shame-inducing scenarios are constructed by emphasizing that the cause of failure is not external. Conversely, anger was formed by stating that the failure situation of the scenario was in teacher unfairness, as it was caused by the perception that the cause of failure was in others. 258 people were used for the analysis in Scenario 1 (shame-inducing scenario) and 241 for Scenario 2 (anger-inducing scenario), except for missing values, insincere responses, and unmanipulated cases. The collected data was analyzed through the SPSS 18.0 and Hayes Process Macro.
Research has shown, first, the positive main effect of shame emotions on behavioral regulation. That is, the higher the shame emotion was induced in the failure situation, the more tendency to regulate behavior for the next test. In addition, there was an interaction between shame and self-efficacy, shame and mastery-avoidance goal. The effect of shame on behavioral regulation was moderated by self-efficacy and mastery-avoidance goals. Analysis of the moderating effects through the Hayes Process Macro showed that in groups whose self-efficacy and mastery-avoidance goal were above average, the higher the shame, the more likely they were to regulate behavior. In addition, the effect of shame on behavioral regulation was greater in groups with +1 standard deviation than in groups with average self-efficacy and mastery-avoidance goals. On the other hand, it was found that the self-efficacy and mastery-avoidance goals were not significant in the group of -1 standard deviations.
Second, unlike the feeling of shame, the main effect of anger emotions in behavioral regulation was not significant. In other words, anger emotion in the failure situation has not been shown to have an effect on behavioral regulation. However, the interaction between anger, performance-approach goal, anger and performance-avoidance goal was shown to be significant. First, for performance-approach goal, the interaction was significant, but the moderating effect of performance-approach goal was not significant within the scope of the data. For a performance-avoidance goal, the moderating effect was shown to be significant and the effect was found in the group where the performance-avoidance goal was -1 standard deviation. It was advantageous for students with low performance-avoidance goal to feel high in anger. On the other hand, students with extremely high performance-avoidance goal were more likely to feel less anger.
The academic significance of this study is as follows. First, it confirms the role of emotions in the test situation that has been neglected. Many previous studies have analyzed only the emotions in the classroom and learning situations. However, the test situation is a very important and sensitive issue for learners. In this study, it is meaningful to confirm the role of emotion in the test situation that has been neglected in the meantime, and at the same time to broaden the understanding of the sensitive part of the domestic learners. Second, the effects of negative emotions were revealed by individual characteristics. In other words, it was confirmed that the effects of negative emotions were not consistent but different according to personal characteristics such as self-efficacy and achievement goal orientation. Third, this study verified that all negative emotions did not show the same effect, but showed different patterns according to individual emotions.
The educational implications of this study are as follows: First, the results of this study suggest implications for what kind of emotions will be induced to lead the failure situation constructively. According to the reason why the learner perceived the failure, different individual emotions were induced and their effects were also different. The results of this study suggest that in order to lead to more constructive behavioral regulation for later learning, it is necessary to find the cause of failure rather than others in the environment. Second, it implies the importance of academic self-efficacy and achievement goal orientation, and also indicates the necessity of intervention in educational environment. In order to show constructive effects of negative emotion, high self-efficacy or low performance avoidance goal should be assumed, and these personal characteristics are factors that can be changed according to situation, experience and environment. This suggests that appropriate educational intervention is needed to ensure that learners are able to cope with failure situations.๋ณธ ์ฐ๊ตฌ์์๋ ์คํจ์ํฉ์์ ๋ถ์ ์ ์๋ฅผ ์์น์ฌ๊ณผ ๋ถ๋
ธ๋ก ๊ตฌ๋ถํ๊ณ , ์ด ๋ ์ ์๊ฐ ํ์
์ ํ๋์กฐ์ ์ ๋ฏธ์น๋ ์ํฅ์ ๋ํด ์ดํด๋ณด๋ ํํธ, ํ์
์ ์๊ธฐํจ๋ฅ๊ฐ๊ณผ ์ฑ์ทจ๋ชฉํ์งํฅ์ฑ์ ์กฐ์ ํจ๊ณผ์ ๋ํ์ฌ ํ์ธํ์๋ค.
ํ์ต์๋ค์ ๋๊ตฌ๋ ํ์
์ํฉ์์ ์คํจ๋ฅผ ํผํ๊ณ ์ถ์ดํ๋ค. ๊ทธ๋ฌ๋ ๋ชจ๋ ํ์ต์๊ฐ ์ธ์ ๋ ์ฑ๊ณต๋ง์ ๊ฒฝํํ ์๋ ์๋ค. ํ์ต์์๊ฒ ์์ด ์คํจ์ํฉ์ ์ธ์ ๊ฐ ๋ง์ฃผ์น ์ ๋ฐ์ ์๋ ๊ฒ์ด๊ธฐ๋ ํ๋ค. ์ด๋ฌํ ์ฌ์ค์ ํ์ต์๋ค์ด ์ง๋ฉดํ ์คํจ์ํฉ์์ ์ด๋ป๊ฒ ๊ฑด์ค์ ์ผ๋ก ๋ฐ์ํ ์ ์๋๊ฐ์ ๋ํ ๊ณ ๋ ค๊ฐ ํ์ํจ์ ์์ฌํ๋ค. ๊ทธ๋ฆฌ๊ณ ์คํจ์ํฉ์ ๊ทน๋ณตํ๊ธฐ ์ํด ํ์ํ ๊ฒ์ ๊ธ์ ์ ์ธ ์๊ธฐ์กฐ์ ์ด๋ฉฐ, ์ด๋ ๊ณ์ํด์ ๋์ ๊ณผ ๋
ธ๋ ฅ์ ์ง์ํ๋ ๊ฒ์ ๋งํ๋ค.
์ผ๋ฐ์ ์ผ๋ก ์คํจ์ํฉ์ ๋ถ์ ์ ์๋ฅผ ์ ๋ฐํ๊ณ , ํ์ต์๋ค์ ๋๊ธฐ ๋ฐ ์ํ์ ๋ถ์ ์ ์ธ ์ํฅ์ ๋ฏธ์น๋ค. ํ์
์ํฉ์์ ์ ์๋ ์ค์ํ ์ญํ ์ ํ๋ ๊ธฐ์ ๋ก ๋ง์ ์ ํ์ฐ๊ตฌ์์๋ ๋ถ์ ์ ์๊ฐ ํ์ต์ ๋ฏธ์น๋ ๋ถ์ ์ ์ธ ์ํฅ์ ๋ํด ๋ณด๊ณ ํ๊ณ ์๋ค. ๊ทธ๋ฌ๋, ๋ชจ๋ ๊ฐ์ธ์๊ฒ ๊ทธ๋ฆฌ๊ณ ๋ชจ๋ ๋ถ์ ์ ์๊ฐ ์ธ์ ๋ ๋ถ์ ์ ์ธ ์ํฅ์ ๋ฏธ์น๋ ๊ฒ์ ์๋๋ค. ์ฒซ์งธ๋ก, ๊ฐ์ธํน์ฑ์ ๋ฐ๋ผ ๋ถ์ ์ ์์ ์ํฅ์ ๋ค๋ฅด๊ฒ ๋ํ๋ ์ ์๋ค. ๋์งธ๋ก, ๋ถ์ ์ ์ธ ์ ์๊ฐ๋ฅผ ํฌํจํ๊ณ ์๋๋ผ๋, ์ ๋ฐ๋ ์ ์๊ฐ ์ด๋ค ๊ฐ๋ณ์ ์๋์ ๋ฐ๋ผ์๋ ๊ทธ๊ฒ์ด ํ์ต์ ๋ฏธ์น๋ ์ํฅ์ ๋ค๋ฅด๊ฒ ๋ํ๋ ์ ์๋ค.
๊ทธ๋ฌ๋ ๋ง์ ์ ํ์ฐ๊ตฌ๋ค์ ๋ค์๊ณผ ๊ฐ์ ํ๊ณ์ ์ ๋ณด์ด๊ณ ์๋ค. ์ฒซ์งธ, ๋ง์ ์ ์ ์ฐ๊ตฌ๋ค์ ํ์
์คํจ์ํฉ์ ๊ด์ฌ์ ๋์ง ์์์ผ๋ฉฐ, ํ์
์ํฉ์ ์ ํฉํ ์ ์ ์ธก์ ๋๊ตฌ๋ฅผ ์ฌ์ฉํ์ง ์์ ๊ฒฝ์ฐ๊ฐ ๋ง๋ค. ๋์งธ, ์ ์์ ํจ๊ณผ์ ์์ด ์ด๋ค ๊ฐ์ธํน์ฑ์ด ์ด๋ค ์ํฅ์ ๋ฏธ์น๋์ง์ ๋ํ ๊ณ ๋ ค๊ฐ ๋ถ์กฑํ์๋ค ์
์งธ, ์ ์๋ฅผ ๊ธ์ ์ ์์ ๋ถ์ ์ ์๋ก ์๋ถํ ๋ฟ, ๊ฐ๋ณ์ ์์ ๋ํ ๊ณ ๋ ค๊ฐ ๋ถ์กฑํ์๋ค. ์ด์ ๋ฐ๋ผ ๋ณธ ์ฐ๊ตฌ์์๋ ํ์
์คํจ์ํฉ์ ๊ธฐ๋ฐ์ผ๋ก ๋ถ์ ์ ์๋ฅผ ์์น์ฌ๊ณผ ๋ถ๋
ธ๋ก ๋๋์ด ๋ ์ ์๊ฐ ํ์
์ ํ๋์กฐ์ ์ ๋ฏธ์น๋ ์ํฅ์ ๋ํด ์ดํด๋ณด์๋ค. ๋ํ ๊ทธ ๊ณผ์ ์์ ์๊ธฐํจ๋ฅ๊ฐ๊ณผ ์ฑ์ทจ๋ชฉํ์งํฅ์ฑ์ ์กฐ์ ํจ๊ณผ์ ๋ํ์ฌ ํ์ธํ์๋ค.
๋ณธ ์ฐ๊ตฌ์๋ ์ด๋ฑํ๊ต 2๊ฐ๊ต์์ ์ด๋ฑํ์ 6ํ๋
320๋ช
์ด ์ฐธ์ฌํ์๋ค. ๋ชจ๋ ๊ณผ์ ์ ํ์ดํผ๋ก ๊ตฌ์ฑ๋ ์ค๋ฌธ์ง๋ก ์งํ๋์์ผ๋ฉฐ, ์คํจ์ํฉ์ ์๋๋ฆฌ์ค๋ฅผ ํตํด ์กฐ์๋์๋ค. ์ฐธ์ฌ์๋ค์ ํ์
์ ์๊ธฐํจ๋ฅ๊ฐ ๋ฐ ์ฑ์ทจ๋ชฉํ์งํฅ์ฑ์ ๋จผ์ ์ธก์ ํ์๊ณ , ์ดํ ์ฐธ์ฌ์๋ค์๊ฒ๋ 2๊ฐ์ ์ํ ์คํจ์ํฉ ์๋๋ฆฌ์ค๋ฅผ ์ ๊ณตํ์ฌ ๋ชฐ์
ํ๋๋ก ์ ๋ํ์๋ค. ๋ง์ง๋ง์ผ๋ก ์ฐธ์ฌ์๋ค์ ๊ทธ ์๋๋ฆฌ์ค ์ํฉ์์ ๋๋ผ๋ ํ์
์ ์์ ํ์
์ ํ๋์กฐ์ ๋ฌธํญ์ ๋ตํ์๋ค. ๋ณธ ์ฐ๊ตฌ์์ ์ฌ์ฉ๋ 2๊ฐ์ ์๋๋ฆฌ์ค๋ ๊ฐ๊ธฐ ์์น์ฌ๊ณผ ๋ถ๋
ธ๋ฅผ ์ ๋ํ๋ ๊ฒ์ผ๋ก ๊ตฌ๋ถ๋์์ผ๋ฉฐ, 3์ฐจ๋ก์ ์๋น์คํ์ ๊ฑฐ์ณ ๊ตฌ์ฑ๋์๋ค. ์์น์ฌ์ ์คํจ์์ธ์ด ์์ ์๊ฒ ์๋ค๊ณ ์ธ์ํ ๋ ์ ๋ฐ๋๋ฏ๋ก, ์์น์ฌ ์ ๋ฐ ์๋๋ฆฌ์ค๋ ์คํจ์ํฉ์ ์์ธ์ด ์ธ๋ถ์ ์์ง ์์์ ๊ฐ์กฐํจ์ผ๋ก์จ ๊ตฌ์ฑ๋์๋ค. ๋ฐ๋๋ก, ๋ถ๋
ธ๋ ์คํจ์์ธ์ด ํ์ธ์๊ฒ ์๋ค๊ณ ์ธ์ํ ๋ ์ ๋ฐ๋จ์ ๋ฐ๋ผ, ์๋๋ฆฌ์ค์ ์คํจ์ํฉ์ด ๊ต์ฌ์ ๋ถ๊ณต์ ํจ์ ์์์ ๋ช
์ํจ์ผ๋ก์จ ๊ตฌ์ฑ๋์๋ค. ๊ฒฐ์ธก๊ฐ๊ณผ ๋ถ์ฑ์คํ ์๋ต, ๊ทธ๋ฆฌ๊ณ ์กฐ์์ด ๋์ง ์์ ๊ฒฝ์ฐ๋ฅผ ์ ์ธํ ๊ฒฐ๊ณผ, ์๋๋ฆฌ์ค 1(์์น์ฌ ์ ๋ฐ ์๋๋ฆฌ์ค)์ ๊ฒฝ์ฐ 258๋ช
์ด ๋ถ์์ ์ฌ์ฉ๋์๊ณ ์๋๋ฆฌ์ค 2(๋ถ๋
ธ ์ ๋ฐ ์๋๋ฆฌ์ค)์ ๊ฒฝ์ฐ, 241๋ช
์ด ๋ถ์์ ์ฌ์ฉ๋์๋ค. ์์ง๋ ์๋ฃ๋ SPSS 18.0์ Hayes Process Macro๋ฅผ ํตํด ๋ถ์ํ์๋ค.
์ฐ๊ตฌ๊ฒฐ๊ณผ, ์ฒซ์งธ, ํ๋์กฐ์ ์ ์์ด ์์น์ฌ ์ ์์ ์ ์ ์ฃผํจ๊ณผ๊ฐ ๋ํ๋ฌ๋ค. ์ฆ, ์คํจ์ํฉ์์ ์์น์ฌ ์ ์๊ฐ ๋๊ฒ ์ ๋ฐ๋ ์๋ก ๋ค์ ์ํ์ ์ํด ๋ ํ๋์กฐ์ ์ ํ๋ ค๋ ๊ฒฝํฅ์ด ๋ํ๋ฌ๋ค. ๋ํ, ์์น์ฌ๊ณผ ์๊ธฐํจ๋ฅ๊ฐ, ์์น์ฌ๊ณผ ์๋ฌํํผ๋ชฉํ์ ์ํธ์์ฉ์ด ๋ํ๋ฌ์ผ๋ฉฐ, ์์น์ฌ์ด ํ๋์กฐ์ ์ ๋ฏธ์น๋ ์ํฅ์ ์๊ธฐํจ๋ฅ๊ฐ๊ณผ ์๋ฌํํผ๋ชฉํ๊ฐ ์กฐ์ ํ์๋ค. Hayes Process Macro๋ฅผ ํตํด ์กฐ์ ํจ๊ณผ๋ฅผ ๋ถ์ํ ๊ฒฐ๊ณผ, ์๊ธฐํจ๋ฅ๊ฐ๊ณผ ์๋ฌํํผ๋ชฉํ๊ฐ ํ๊ท ์ด์์ธ ์ง๋จ์์๋ ์์น์ฌ์ด ๋์์๋ก ๋ ํ๋์กฐ์ ์ ํ๋ ค๋ ๊ฒฝํฅ์ด ๋ํ๋ฌ๋ค. ๋ํ, ์๊ธฐํจ๋ฅ๊ฐ๊ณผ ์๋ฌํํผ๋ชฉํ๊ฐ ํ๊ท ์ธ ์ง๋จ๋ณด๋ค +1 ํ์คํธ์ฐจ์ธ ์ง๋จ์์ ์์น์ฌ์ด ํ๋์กฐ์ ์ ๋ฏธ์น๋ ์ํฅ์ด ๋ ํฌ๊ฒ ๋ํ๋ฌ๋ค. ๋ฐ๋ฉด, ์๊ธฐํจ๋ฅ๊ฐ๊ณผ ์๋ฌํํผ๋ชฉํ๊ฐ -1 ํ์คํธ์ฐจ์ธ ์ง๋จ์์๋ ์์น์ฌ์ ์ํฅ์ ์ ์ํ์ง ์์ ๊ฒ์ผ๋ก ๋ํ๋ฌ๋ค.
๋์งธ, ์์น์ฌ ์ ์์๋ ๋ฌ๋ฆฌ ํ๋์กฐ์ ์ ์์ด ๋ถ๋
ธ ์ ์์ ์ฃผํจ๊ณผ๋ ์ ์ํ์ง ์์๋ค. ์ฆ, ์คํจ์ํฉ์์ ๋ถ๋
ธ ์ ์๋ ํ๋์กฐ์ ์ ์ํฅ์ ๋ฏธ์น์ง ์๋ ๊ฒ์ผ๋ก ๋ํ๋ฌ๋ค. ๊ทธ๋ฌ๋, ๋ถ๋
ธ์ ์์ ์ํ์ ๊ทผ๋ชฉํ, ๋ถ๋
ธ ์ ์์ ์ํํํผ๋ชฉํ์ ์ํธ์์ฉ์ด ์ ์ํ ๊ฒ์ผ๋ก ๋ํ๋ฌ๋ค. ๋จผ์ ์ํ์ ๊ทผ๋ชฉํ์ ๊ฒฝ์ฐ ์ํธ์์ฉ์ ์ ์ํ์์ผ๋ ์ํ์ ๊ทผ๋ชฉํ์ ์กฐ์ ํจ๊ณผ๋ ๋ฐ์ดํฐ ๋ฒ์ ์์์ ์ ์ํ์ง ์์ ๊ฒ์ผ๋ก ๋ํ๋ฌ๋ค. ์ํํํผ๋ชฉํ์ ๊ฒฝ์ฐ ์กฐ์ ํจ๊ณผ๊ฐ ์ ์ํ ๊ฒ์ผ๋ก ๋ํ๋ฌ์ผ๋ฉฐ, ์ํํํผ๋ชฉํ๊ฐ -1 ํ์คํธ์ฐจ์ธ ์ง๋จ์์ ๊ทธ ํจ๊ณผ๊ฐ ๋ฐ๊ฒฌ๋์๋ค. ์ํํํผ๋ชฉํ๊ฐ ๋ฎ์ ํ์๋ค์ ๋ถ๋
ธ์ ์๋ฅผ ๋๊ฒ ๋๋ผ๋ ๊ฒ์ด ํ๋์กฐ์ ์ ์ ๋ฆฌํ์๋ค. ํํธ, ์ํํํผ๋ชฉํ๊ฐ ๊ทน๋จ์ ์ผ๋ก ๋์ ํ์๋ค์ ๋ฐ๋๋ก ๋ถ๋
ธ์ ์๋ฅผ ๋ฎ๊ฒ ๋๋ผ๋ ๊ฒ์ด ๋ ์ ๋ฆฌํ๊ฒ ์์ฉํ์๋ค.
๋ณธ ์ฐ๊ตฌ์ ํ๋ฌธ์ ์์๋ ์ฒซ์งธ, ๊ทธ๋์ ์ํํ ์ฐ๊ตฌ๋์๋ ์ํ ์ํฉ์์ ์ ์์ ์ญํ ์ ํ์ธํ์๋ค. ๋ง์ ์ ํ ์ฐ๊ตฌ๋ค์ ์์
, ํ์ต์ํฉ์์์ ์ ์๋ง์ ๋์์ผ๋ก ์ผ์ ๋ถ์ํ์๋ค. ๊ทธ๋ฌ๋, ์ํ์ํฉ์ ํ์ต์๋ค์๊ฒ ๋งค์ฐ ์ค์ํ๋ฉด์๋ ๋ฏผ๊ฐํ ์ฌ์์ด๋ค. ๋ณธ ์ฐ๊ตฌ์์๋ ๊ทธ๋์ ์ํํ ์ฐ๊ตฌ๋์๋ ์ํ ์ํฉ์์ ์ ์์ ์ญํ ์ ํ์ธํจ๊ณผ ๋์์ ๊ตญ๋ด ํ์ต์๋ค์ด ๋ฏผ๊ฐํ๊ฒ ๋ฐ์ํ๋ ๋ถ๋ถ์ ๋ํ ์ดํด๋ฅผ ๋ํ๋๋ฐ ๊ทธ ์์๋ฅผ ๊ฐ์ง๋ค. ๋์งธ, ๋ถ์ ์ ์์ ํจ๊ณผ์ ์์ด ๊ฐ์ธํน์ฑ์ ๋ฐ๋ฅธ ์ฐจ์ด๋ฅผ ๋ฐํ๋ค. ์ฆ, ๋ถ์ ์ ์์ ์ํฅ์ด ์ผ๊ด์ ์ธ ๊ฒ์ด ์๋๋ผ ์๊ธฐํจ๋ฅ๊ฐ ๋ฐ ์ฑ์ทจ๋ชฉํ์งํฅ์ฑ๊ณผ ๊ฐ์ ๊ฐ์ธํน์ฑ์ ๋ฐ๋ฅธ ์ฐจ์ด๊ฐ ์์์ ํ์ธํ์๋ค. ์
์งธ, ๋ณธ ์ฐ๊ตฌ๋ ๋ชจ๋ ๋ถ์ ์ ์๊ฐ ๋์ผํ ํจ๊ณผ๋ฅผ ๋ณด์ด๋ ๊ฒ์ ์๋๋ฉฐ, ๊ฐ๋ณ์ ์์ ๋ฐ๋ผ ์๋ก ๋ค๋ฅธ ํจํด์ ๋ณด์ด๊ณ ์์์ ๊ฒ์ฆํ์๋ค.
๋ณธ ์ฐ๊ตฌ์ ๊ต์ก์ ์์ฌ์ ์ ๋ค์๊ณผ ๊ฐ๋ค. ์ฒซ์งธ, ๋ณธ ์ฐ๊ตฌ์ ๊ฒฐ๊ณผ๋ ์คํจ์ํฉ์ ๊ฑด์ค์ ์ผ๋ก ์ด๋๊ธฐ ์ํด์ ์ด๋ค ์ ์๊ฐ ์ ๋๋๋ ์ํฉ์ ๋ง๋ค์ด์ค ๊ฒ์ธ์ง์ ๋ํ ์์ฌ์ ์ ์ ์ํ๋ค. ํ์ต์๊ฐ ์ธ์ํ ์คํจ์ ์์ธ์ ๋ฐ๋ผ ๋ค๋ฅธ ๊ฐ๋ณ์ ์๊ฐ ์ ๋๋๋ฉฐ, ๊ทธ ํจ๊ณผ ๋ํ ๋ค๋ฅด๊ฒ ๋ํ๋ฌ๋ค. ๋ณธ ์ฐ๊ตฌ์ ๊ฒฐ๊ณผ๋ ์ดํ ํ์ต์ ์ํด ๋ณด๋ค ๊ฑด์ค์ ์ธ ํ๋์กฐ์ ์ ์ด๋๊ธฐ ์ํด์๋ ์คํจ ์์ธ์ ํ์ธ๋ณด๋ค๋ ์์ ๋ด๋ถ์์ ์ฐพ์ ์ ์๋ ํ๊ฒฝ์ด ํ์ํจ์ ๋งํด์ค๋ค. ๋์งธ, ํ์
์ ์๊ธฐํจ๋ฅ๊ฐ๊ณผ ์ฑ์ทจ๋ชฉํ์งํฅ์ฑ์ ์ค์์ฑ์ ์์ํ๋ ํํธ, ๊ทธ๊ฒ์ ๊ฐ์
ํ๋ ๊ต์ก์ ํ๊ฒฝ์ ํ์์ฑ์ ๋งํด์ค๋ค. ๋ถ์ ์ ์๊ฐ ๊ฑด์ค์ ํจ๊ณผ๋ฅผ ๋ณด์ด๊ธฐ ์ํด์๋ ๋์ ์๊ธฐํจ๋ฅ๊ฐ ํน์ ๋ฎ์ ์ํํํผ๋ชฉํ๊ฐ ์ ์ ๋์ด์ผ ํ๋ฉฐ, ์ด๋ฐ ๊ฐ์ธํน์ฑ๋ค์ ์ํฉ, ๊ฒฝํ ๋ฐ ํ๊ฒฝ์ ๋ฐ๋ผ ๋ณํ๋ ์ ์๋ ์์ธ๋ค์ด๋ค. ์ด๋ ํ์ต์๋ค์ด ์คํจ์ํฉ์ ์ ๋์ฒํ ์ ์๋๋ก ํ๊ธฐ ์ํด ์ ์ ํ ๊ต์ก์ ๊ฐ์
์ด ํ์ํจ์ ์์ฌํ๋ค.โ
. ์๋ก 1
1. ์ฐ๊ตฌ์ ํ์์ฑ ๋ฐ ๋ชฉ์ 1
2. ์ฐ๊ตฌ๋ฌธ์ 6
3. ์ฃผ์ ๋ณ์ธ์ ์ค์ ๋ฐ ์ ์ 7
โ
ก. ์ด๋ก ์ ๋ฐฐ๊ฒฝ 9
1. ์คํจ 9
2. ์ ์ 12
๊ฐ. ์ ์ 12
๋. ํ์
์ ์ 15
๋ค. ๋ถ์ ์ ์ 19
๋ผ. ๋ถ์ ์ ์์ ํ์ต 23
3. ์๊ธฐํจ๋ฅ๊ฐ 27
4. ์ฑ์ทจ๋ชฉํ์งํฅ์ฑ 32
5. ํ๋์กฐ์ 37
โ
ข. ์ฐ๊ตฌ๋ฐฉ๋ฒ 41
1. ์ฐ๊ตฌ๋์ 41
2. ์ฐ๊ตฌ์ ์ฐจ 42
3. ์ฐ๊ตฌ๋๊ตฌ 44
4. ๋ถ์๋ฐฉ๋ฒ 50
โ
ฃ. ์ฐ๊ตฌ๊ฒฐ๊ณผ 51
1. ๊ธฐ์ ํต๊ณ ๋ฐ ์๊ด๋ถ์ 51
2. ์ฐ๊ตฌ๋ฌธ์ 1 54
3. ์ฐ๊ตฌ๋ฌธ์ 2 58
โ
ค. ๋
ผ์ ๋ฐ ๊ฒฐ๋ก 61
1. ๋
ผ์ ๋ฐ ์์ฌ์ 61
2. ์ถํ ์ฐ๊ตฌ์ ๋ํ ์ ์ธ 69
์ฐธ๊ณ ๋ฌธํ 71
๋ถ๋ก 91
Abstract 105Maste